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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Genetic Neurodegenerative Diseases
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

3,015 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
3,015 works in the cohort · of 4,299,418page 33 of 61

Labels cover 8 of 3,015 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 3,015 of 3,015 works in this cohort. Predictions are machine_predicted_unvalidated. The Gemma side is a direct model label for every work (title-only); the Codex side is a distilled, calibrated classifier. Candidate is the union; consensus is the intersection.

affno abstractunlabeled
Uncommon features in Cuban families affected with Friedreich ataxia
Tania Cruz Mariño, Yanetza González-Zaldívar, José Miguel Laffita‐Mesa, Luis E. Almaguer-Mederos, Raúl Aguilera‐Rodríguez, Dennis Almaguer‐Gotay +4 more
2010· article· en· Neuroscience Letters· Neuroscience
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Prediction of the disease course in Friedreich ataxia
Christian Hohenfeld, Ulrich Terstiege, Imis Dogan, Paola Giunti, Michael Parkinson, Caterina Mariotti +19 more
2022· article· en· Scientific Reports· Neuroscience
machine prediction:candidate · noneconsensus · none
9
citations
aboutno affunlabeled
Prevalence of Huntington’s Disease in the US (954)
George J. Yohrling, Karina Raimundo, Valerie Crowell, Debra Lovecky, Louise Vetter, Lauren Seeberger
2020· article· en· Neurology· Neuroscience
machine prediction:candidate · noneconsensus · none
9
citations
affunlabeled
Functionality and disease severity in spinocerebellar ataxias
Geanison Castro da CRUZ, Marise Bueno Zonta, Renato P. Munhoz, Neliana Maria de Mello, Alex Tiburtino Meira, Maria Cristina de Alencar Nunes +4 more
2022· article· en· Arquivos de Neuro-Psiquiatria· Neuroscience
machine prediction:candidate · noneconsensus · none
8
citations
affno abstractunlabeled
Cognitive and Psychiatric Evaluation in SYNE1 Ataxia
Maria Thereza Drumond Gama, Pedro Braga‐Neto, Lívia Almeida Dutra, Helena Alessi, Lilia Alves Maria, Ary Araripe Gadelha +9 more
2019· article· en· The Cerebellum· Neuroscience
machine prediction:candidate · noneconsensus · none
8
citations

How this was built: Screen · Findings · About